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The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
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Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
$205,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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NET Core) and ASP.NET Experience developing single-page web applications using either Angular 7+ or React Demonstrated experience in Azure based solution implementation, including: Azure technologies, such as: Azure Logic Apps, Azure SQL and Azure Service Bus and Azure API Manager Azure DevOps and Visual Studio for code development, management, repositories and deployments (CI/CD) integrating custom built apps with third-party systems, including Microsoft Dynamics 365 CRM.
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Microsoft Azure Cloud Engineer Job Responsibilities:-Focus on optimizing existing systems, building infrastructure, and eliminating work through automation. -In-depth knowledge of security and IAM/RBAC within Azure, including the management and operation of Azure ASG, Azure Key Vault, Azure NSG, Azure AD, Azure Security Center, Azure Policy, and Azure Management Group/Subscriptions.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with integrating other external applications like Sailpoint, etcExperience with automating secure access to AWS services like (Redshift, Athena, S3), Microsoft O365, Microsoft Azure, Snowflake, PowerBIExperience with cloud platforms such as AWS, Snowflake, Azure, or Google Cloud.
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Experience with Alteryx for business logic design required as well as ability to operate in Cloud environment (Azure. Support Associates up to Managers on the creation of the taxonomy and support the adoption by activation teams.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Design, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud. Relevant certifications, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.
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5+ years of experience in data engineering with a strong focus on Azure technologies. - Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, Azure Synapse, and Azure Databricks.
$160,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on experience with AWS, Azure, or GCP, ideally with a focus on securing public cloud environmentsOverseen a vulnerability management program to proactively identify, classify, remediate, & mitigate vulnerabilities.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago
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